Publications
PhD thesis:
- Understanding, Modeling and Detecting Brain Tumors: Graphical Models and Concurrent Segmentation/Registration methods. Sarah Parisot, November 2013. [PDF]
2017
Salim Arslan, Sofia Ira Ktena, Antonios Makropoulos, Emma C. Robinson, Daniel Rueckert, Sarah Parisot: Human Brain Mapping: A Systematic Comparison of Parcellation Methods for the Human Cerebral Cortex. NeuroImage (2017) [Code and Data] [DOI] [PDF]
Sarah Parisot, Sofia Ira Ktena, Enzo Ferrante, Matthew Lee, Ricardo Guerrerro Moreno, Ben Glocker, Daniel Rueckert: Spectral Graph Convolutions for Population-based Disease Prediction. MICCAI 2017. [Code] [PDF]
Sofia Ira Ktena, Sarah Parisot, Enzo Ferrante, Martin Rajchl, Matthew Lee, Ben Glocker, Daniel Rueckert: Distance Metric Learning using Graph Convolutional Networks: Application to Functional Brain Networks. MICCAI 2017. [Code] [PDF]
Sofia Ira Ktena, Salim Arslan, Sarah Parisot, Daniel Rueckert: Exploring Heritability of Functional Brain Networks with Inexact Graph Matching. ISBI 2017. [PDF]
Jonathan Passerat-Palmbach, Romain Reuillon, Mathieu Leclaire, Antonios Makropoulos, Emma C Robinson, Sarah Parisot, Daniel Rueckert: Reproducible large-scale neuroimaging studies with the OpenMOLE workflow management system. Frontiers in Neuroinformatics 2017; 11: 21. [DOI][PDF]
2016
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert: Group-wise parcellation of the cortex through multi-scale spectral clustering. NeuroImage (2016). [DOI] [Bibtex][PDF]
Sarah Parisot, Amélie Darlix, Cédric Baumann, Sonia Zouaoui, Yordanka Yordanova, Marie Blonski, Valérie Rigau et al.: A Probabilistic Atlas of Diffuse WHO Grade II Glioma Locations in the Brain. PloS one 11, no. 1 (2016). [DOI] [Bibtex]
Nikos Paragios, Enzo Ferrante, Ben Glocker, Nikos Komodakis, Sarah Parisot, Evangelia I. Zacharaki: (Hyper)-graphical models in biomedical image analysis Medical Image Analysis 33, 102-106 (Invited paper) [DOI][Bibtex]
Sarah Parisot, Ben Glocker, Markus D. Schirmer, and Daniel Rueckert: GraMPa: Graph-Based Multi-modal Parcellation of the Cortex Using Fusion Moves. MICCAI 2016: 148-156. [DOI][Bibtex][PDF]
Salim Arslan, Sarah Parisot, and Daniel Rueckert: Boundary Mapping Through Manifold Learning for Connectivity-Based Cortical Parcellation. MICCAI 2016: 115-122. [DOI][Bibtex]
Sofia Ira Ktena, Sarah Parisot, Jonathan Passerat-Palmbach, Daniel Rueckert: Comparison of Brain Networks with Unknown Correspondences MICCAI Workshop on Brain Analysis using Connectivity Networks (BACON) 2016. [PDF]
Konstantinos Kamnitsas, Enzo Ferrante, Sarah Parisot, Christian Ledig, Aditya Nori, Antonio Criminisi, Daniel Rueckert, Ben Glocker: DeepMedic for Brain Tumor Segmentation BRATS-MICCAI Workshop 2016.
Sarah Parisot and Daniel Rueckert: A Cortical Parcellation Framework for Multimodal Analysis. OHBM, Geneva, 2016.
2015
Sarah Parisot, Martin Rajchl, Jonathan Passerat-Palmbach, Daniel Rueckert: A Continuous Flow-Maximisation Approach to Connectivity-driven Cortical Parcellation. MICCAI (3) 2015: 165-172. [DOI] [Bibtex][PDF][Teaser]
Salim Arslan, Sarah Parisot, Daniel Rueckert: Joint Spectral Decomposition for the Parcellation of the Human Cerebral Cortex Using Resting-State fMRI. IPMI 2015: 85-97 (Oral presentation) [DOI] [Bibtex]
Sarah Parisot, Salim Arslan, Jonathan Passerat-Palmbach, William M. Wells III, Daniel Rueckert: Tractography-Driven Groupwise Multi-scale Parcellation of the Cortex. IPMI 2015: 600-612 [DOI] [Bibtex] [PDF]
Wenjia Bai, Devis Peressutti, Sarah Parisot, Ozan Oktay, Martin Rajchl, Declan P. O’Regan, Stuart A. Cook, Andrew P. King, Daniel Rueckert: Beyond the AHA 17-Segment Model: Motion-Driven Parcellation of the Left Ventricle. STACOM@MICCAI 2015: 13-20 [DOI]
Salim Arslan, Sarah Parisot, and Daniel Rueckert: Supervertex clustering of the cerebral cortex using resting-state fMRI. OHBM, Honolulu, 2015.
Salim Arslan, Sarah Parisot, and Daniel Rueckert: How to represent subregions in a parcellated brain for fMRI analysis? OHBM, Honolulu, 2015.
Sarah Parisot and Daniel Rueckert: Multi-Scale Spectral Parcellation of the Cortex Based on Structural Connectivity. OHBM, Honolulu, 2015. [Poster]
Sarah Parisot and D. Rueckert: Evaluation Methods for Diffusion-driven Cortex Parcellation. OHBM, Honolulu, 2015. [Poster]
Salim Arslan, Sarah Parisot, and Daniel Rueckert: Comparing connectivity-based groupwise parcellations generated from resting-state fMRI and DTI data: Preliminary results. Symposium on Big Data Initiatives for Connectomics Research, BIH 2015.
2014
- Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios: Concurrent tumor segmentation and registration with uncertainty-based sparse non-uniform graphs. Medical Image Analysis 18(4): 647-659 (2014) [DOI] [Bibtex] [PDF]
2013
- Sarah Parisot, William M. Wells III, Stéphane Chemouny, Hugues Duffau, Nikos Paragios: Uncertainty-Driven Efficiently-Sampled Sparse Graphical Models for Concurrent Tumor Segmentation and Atlas Registration. ICCV 2013: 641-648 [DOI] [Bibtex] [PDF]
2012
Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios: Graph-based detection, segmentation & characterization of brain tumors. CVPR 2012: 988-995 [DOI] [Bibtex] [PDF]
Sarah Parisot, Hugues Duffau, Stéphane Chemouny, Nikos Paragios: Joint Tumor Segmentation and Dense Deformable Registration of Brain MR Images. MICCAI (2) 2012: 651-658 (Oral presentation) [DOI] [Bibtex] [PDF] [Slides]